Tableau > 实例探究 > Ferrari and Maserati of North America Revs Up Its Data Analysis with Tableau Software

Ferrari and Maserati of North America Revs Up Its Data Analysis with Tableau Software

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公司规模
1,000+
地区
  • America
国家
  • Canada
  • United States
产品
  • Tableau Desktop
  • Tableau Server
技术栈
  • Microsoft SharePoint
  • Excel
实施规模
  • Enterprise-wide Deployment
影响指标
  • Digital Expertise
  • Productivity Improvements
技术
  • 应用基础设施与中间件 - 数据可视化
适用行业
  • 汽车
适用功能
  • 销售与市场营销
用例
  • 实时定位系统 (RTLS)
  • 供应链可见性(SCV)
服务
  • 数据科学服务
关于客户
Ferrari and Maserati of North America are luxury carmakers that import cars for distribution and sale in the United States, Canada, and South America. They provide after-sales assistance to their dealer network, which includes marketing, sales, customer service, technical training, and warranty administration. In addition to these services, Ferrari and Maserati of North America also advise Ferrari and Maserati S.p.A. on product development for its market and participate in motor sports, cultural, and philanthropic activities.
挑战
Ferrari and Maserati of North America were facing challenges in their data analysis process. The process of generating and sharing reports for retail sales analysis, service and repair orders, and monthly expenditures was time-consuming and involved manually entering data into Excel files and distributing that static information via email. This method was not only inefficient but also did not allow for real-time interaction with the data.
解决方案
Ferrari and Maserati of North America implemented Tableau Desktop and Tableau Server to streamline their data analysis process. The implementation was done in-house, keeping the cost of deployment within budget. With Tableau, users can interact with company data in real-time and access personalized views and dashboards from the company's Intranet, a Microsoft SharePoint/Tableau Server-based portal. This has made the process of generating and sharing reports for retail sales analysis, service and repair orders, and monthly expenditures much easier and more efficient.
运营影响
  • Streamlined data analysis process
  • Real-time interaction with company data
  • Easy generation and sharing of reports
  • Increased efficiency in data management

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